Gabriela Chiribau (arylwen)

Solution Architect & engineering leader working at the intersection of cloud-native platforms (AWS) and Generative AI (RAG / semantic search / knowledge graphs).

I build pragmatic systems: scalable architectures, reliable delivery pipelines, and developer-facing tools.

Open-source highlights

• CAF (Contura Architecture Framework) — guardrailed, pattern-driven workflows for architecture scaffolding and code generation you can trace and audit. Works with Claude Code, Codex, and Antigravity.
• papers-kg-airflow — Airflow pipeline for paper download + cleanup to support downstream indexing/knowledge workflows.
• mlk8s — microk8s-based ML cluster experiments and notebooks.
• llama-kg — supporting code for the papers→KG pipeline.

What I focus on

• Architecture & platforms: microservices, security/IAM, observability, and scalable delivery
• GenAI / ML: RAG, NLP, evaluation, semantic search, knowledge graph pipelines
• Full-stack delivery: backend services + practical front-ends when needed

Tech I use often

Python • AWS • PostgreSQL • Docker/Kubernetes • Java/Spring • .NET • React

Connect

• LinkedIn: https://linkedin.com/in/gabrielachiribau/
• GitHub: https://github.com/arylwen